DocumentCode :
2275917
Title :
Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search
Author :
Jiang, Shen ; Zilles, Sandra ; Holte, Robert
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
208
Lastpage :
213
Abstract :
This paper proposes an empirical approach for analyzing the rank distribution of relevant documents in Web search. From a methodological point of view a new transaction log analysis method is proposed; the relevance of documents is studied over transaction sessions rather than single transactions. From a practical point of view the paper provides insights about the actual rank distribution of relevant documents in Web search, with several consequences for the design of applications related to Web search.
Keywords :
Internet; document handling; search engines; Web search; rank distribution; relevant documents; transaction log analysis method; Clustering algorithms; Design methodology; Distributed computing; Intelligent agent; Probability distribution; Search engines; Search methods; Statistics; Web search; transaction log analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.200
Filename :
4740451
Link To Document :
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